Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 40,
  • Issue 2,
  • pp. 452-461
  • (2022)

Generalized Multi-Access Dynamic Bandwidth Allocation Scheme for Future Generation PONs: A Solution for Beyond 5G Delay/Jitter Sensitive Systems

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we present a novel dynamic bandwidth allocation (DBA) scheme for future generation passive optical networks (PON) in order to meet the beyond 5G (B5G) and sixth generation (6G) stringent requirements. Our proposed algorithm is a generalized multi-access DBA (GMA-DBA) that exploits both orthogonal and non-orthogonal multi-access (MA) resources, resulting in a radical enhancement in the network performance. The proposed GMA-DBA algorithm is modeled as an optimization problem for which a closed form solution is derived. Results show that the GMA-DBA is capable of accommodating a network throughput higher than 1 Tbps while securing a latency and jitter below 100 µs and 10 µs, respectively. It can also maintain reliability, simplicity and energy efficiency. Therefore, using a non-orthogonal MA layer seems to be inevitable to achieve the stringent performance needed for the B5G and 6G next generation systems.

PDF Article
More Like This
Dynamic bandwidth allocation scheme for network-slicing-based TDM-PON toward the beyond-5G era

Hiroyuki Uzawa, Kazuaki Honda, Hirotaka Nakamura, Yukio Hirano, Ken-ichi Nakura, Seiji Kozaki, and Jun Terada
J. Opt. Commun. Netw. 12(2) A135-A143 (2020)

Low-Latency Dynamic Bandwidth Allocation for 100 km Long-Reach EPONs

Daisuke Murayama, Noriyuki Oota, Ken-Ichi Suzuki, and Naoto Yoshimoto
J. Opt. Commun. Netw. 5(1) 48-55 (2013)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.